Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsSASB Standards

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to SASB Standards. Pre-computed mappings, identified gaps, and coverage analysis.

21
Controls Mapped
10
Gaps Found
26%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to SASB Standards with 26% coverage across 8 directly mapped controls. Analysis of 31 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 23 compliance gaps — primarily concentrated in Govern.

Source: TheArtOfService Knowledge Graph | 31 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 20 of 21 mapped controls across 4 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Govern(6 mappings)

AIRMF-GOV-01AI Risk Management Policies3 targets
SASB-LG-2Systemic Risk Management
SASB-LG-3Critical Incident Risk Management
SASB-LG-5Systemic Risk Management
NIST-AI600-GOV-1Legal and Regulatory Compliance3 targets
SASB-LG-1Business Ethics
SASB-SC-1Customer Privacy and Data Security
SASB-SOC-2Customer Privacy

Manage(4 mappings)

AIRMF-MAN-01AI Risk Treatment3 targets
SASB-LG-2Systemic Risk Management
SASB-LG-3Critical Incident Risk Management
SASB-LG-5Systemic Risk Management
NIST-AI600-MGT-3Third-Party Dependency Management
SASB-BMI-3Supply Chain Management

Map(6 mappings)

AIRMF-MAP-02AI Risk Identification2 targets
SASB-BMI-1Product Design and Lifecycle Management
SASB-BMI-3Supply Chain Management
NIST-AI600-MAP-1GAI Risk Identification4 targets
SASB-BMI-1Product Design and Lifecycle Management
SASB-BMI-3Supply Chain Management
SASB-SC-1Customer Privacy and Data Security
SASB-SOC-2Customer Privacy

Measure(4 mappings)

NIST-AI600-MEA-3Privacy Leak Assessment2 targets
SASB-SC-1Customer Privacy and Data Security
SASB-SOC-2Customer Privacy
NIST-AI600-MEA-4Environmental Impact Measurement2 targets
SASB-BMI-1Product Design and Lifecycle Management
SASB-BMI-3Supply Chain Management

+1 more mappings

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and SASB Standards?

NIST AI Risk Management Framework (AI RMF 1.0) has 31 controls across its framework, while SASB Standards covers 23 controls. Direct mapping analysis identifies 8 overlapping controls (26% coverage). The frameworks diverge most significantly in Govern, where 7 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct SASB Standards equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and SASB Standards?

Of 31 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 8 map directly to SASB Standards controls — representing 26% coverage. The remaining 23 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping NIST AI Risk Management Framework (AI RMF 1.0) to SASB Standards?

23 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in SASB Standards. The highest concentration of gaps is in Govern with 7 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.

Which control domains have the most gaps between NIST AI Risk Management Framework (AI RMF 1.0) and SASB Standards?

The domain with the highest gap count is Govern (7 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

This platform provides educational compliance tools, not legal, regulatory, or professional compliance advice. Cross-framework mappings are AI-assisted interpretations and do not reproduce or replace official standards. Framework names and trademarks belong to their respective owners. Consult qualified professionals for your specific compliance requirements. See our Terms of Service.